Valentino Constantinou

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 9

Top Topics

Anomaly Detection

Construction Industry

Top Venues

ICCV (Workshops)

Publications

Valentino Constantinou, Mark Hoffmann, Matthew Paterson, Ali Mezher, Brian Pak, Alexander Pertica, Emily Milne
Leveraging Deep Learning for High-Resolution Optical Satellite Imagery From Low-Cost Small Satellite Platforms. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17 (2024)
Valentino Constantinou, Michela Ravanelli, Hamlin Liu, Jacob Bortnik
A Deep Learning Approach for Detection of Internal Gravity Waves in Earth's Ionosphere. IGARSS (2023)
Valentino Constantinou, Michela Ravanelli, Hamlin Liu, Jacob Bortnik
Deep Learning Driven Detection of Tsunami Related Internal Gravity Waves: a path towards open-ocean natural hazards detection. ICCV (Workshops) (2023)
Valentino Constantinou, Michela Ravanelli, Hamlin Liu, Jacob Bortnik
Deep Learning Driven Detection of Tsunami Related Internal GravityWaves: a path towards open-ocean natural hazards detection. CoRR (2023)
Tim Allison, Wayne Burke, Valentino Constantinou, Edwin Goh, Chris Mattmann, Anastasija Mensikova, Philip Southam, Ryan Stonebraker, Virisha Timmaraju
Research Report: Building a Wide Reach Corpus for Secure Parser Development. SP Workshops (2020)
Valentino Constantinou, Mori Kabiri
Detecting Anomalous line-items by Modeling the Legal Case Lifecycle. CoRR (2020)
Kyle Hundman, Valentino Constantinou, Christopher Laporte, Ian Colwell, Tom Söderström
Detecting Spacecraft Anomalies Using LSTMs and Nonparametric Dynamic Thresholding. CoRR (2018)
Kyle Hundman, Valentino Constantinou, Christopher Laporte, Ian Colwell, Tom Söderström
Detecting Spacecraft Anomalies Using LSTMs and Nonparametric Dynamic Thresholding. KDD (2018)
Valentino Constantinou
PyNomaly: Anomaly detection using Local Outlier Probabilities (LoOP). J. Open Source Softw. 3 (30) (2018)